LinkedIn Engineering

JANUARY 19, 2024

Figure 1: Talent pool report for recruiters - LinkedIn Talent Insights During mergers and acquisitions, the source company’s user licenses and data are transferred to the acquiring company. All the source data should transition over to the destination user. Figure 2 captures the dependency of all the major entities.

Recruitment 88

Recruitment Data Process Process Kafka 88

Cloudera

SEPTEMBER 19, 2022

So Alice did what most companies do and moved account management to a single sign on (SSO) provider. A company’s identity provider is the source of truth for users and groups. Because of this it’s important that web products respond to errors with a human actionable message. A few limitations. Are revocable.

Systems 96

Systems Management Accessible Accessibility 96

Netflix Tech

NOVEMBER 3, 2022

This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a With traffic growth, a single leader node handling all request volume started becoming overloaded.

Systems 89

Systems Architecture Process AWS 89

DoorDash Engineering

APRIL 4, 2023

This is the third blog post in a series of articles showcasing our 2022 summer intern projects. Today these changes are entered as single entry systems that are prone to errors and difficult to reconcile. Webhooks are automated messages containing pertinent information that are sent when an event occurs.

Project 74

Project Banking Kafka Database 74

Picnic Engineering

SEPTEMBER 8, 2022

The data is loaded into Snowflake, Picnic’s single source of truth Data Warehouse (DWH). We use the RabbitMQ Source connector for Apache Kafka Connect. Finally, the Snowflake sink connector picks the messages from topics and loads them into respective tables in DWH. Yet, some messages are destined for the DWH only.

Kafka 52

Kafka Metadata AWS Java 52

Snowflake

MARCH 30, 2023

In this blog post we will use what we have learned in this Data Vault blog series to support the data preparation requirements for ML on Snowflake, using Data Vault patterns for modeling and automation. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 83

Engineering Raw Data Data Science Scala 83

Confluent

MAY 28, 2019

Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. Actually, we recommend that you consider another alternative to self-managing Schema Registry, and the next blog post in this series reveals what that alternative is! Bad designs.

Management 83

Management Kafka Java Certification 83

AltexSoft

NOVEMBER 7, 2022

Apache Airflow is an open-source Python -based workflow orchestrator that enables you to design, schedule, and monitor data pipelines. Source: Apache Airflow. Source: Apache Airflow. It serves as the source of truth for the scheduler. Source: Apache Airflow. 2022 Airflow user overview. Metadata database.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Netflix Tech

JULY 26, 2021

Change Data Capture(CDC) source connector reads from studio applications’ database transaction logs and emits the change events. In Data Mesh, users create sources and construct pipelines. Sources mimic the state of an externally managed source?—?as source connectors and sink connectors) Processors are reusable.

Data 101

Data Data Pipeline MySQL Data Warehouse 101

Picnic Engineering

JULY 26, 2022

Since the publication of the first blog post in this series, we have received numerous questions via social media, direct messages, public posts, and meet-up discussions. Though many of the ongoing questions were already covered in the previous blog posts, a few warranted their own article.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Data Warehouse 94

Data Warehouse Data Architecture Cloud 94

Knowledge Hut

APRIL 20, 2023

However, a targeted marketing strategy ensures that your message connects with your target market, allowing you to feel good about the effort your team put into each campaign. Hire a team who can effectively send the plan or get your message across with strong copy and compelling imagery. Post your results on all marketing channels.

Project 52

Project Management Designing Certification 52

AltexSoft

MAY 14, 2021

The truth is, there’s more to this term than just the size of information generated. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. A single HD movie on Netflix takes up over 4 gigabytes while you are watching.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Tweag

DECEMBER 21, 2022

The problem: using the pretty-printer for code generation Investigation into the implementation of the NCG revealed the source of the problem: GHC was using its internal SDoc abstraction to print assembly code. For readers unfamiliar with SDoc , it is an implementation of pretty-printing combinators in the style of John Hughes.

Coding 71

Coding Architecture Programming Designing 71

Snowflake

MAY 24, 2023

Not long ago, I wrote a blog about what US and European software companies can do to ensure their success when opening for business in the region. It’s more important to confirm your technology addresses those problems so you can go to the CIO and the CEO with that message. The question to ask is, “Will it solve a customer’s problem?”

Data Warehouse 52

Data Warehouse Cloud Data Lake Technology 52

Confluent

FEBRUARY 13, 2019

The approach of this model is to send messages (events) to different services that can react and execute logic. It serves as a conduit to drive distributed logic (processing), and messaging is a remote invocation layer. To map a stream of events in a single partition we use an eventKey. Events never occur in isolation.

Architecture 90

Architecture Programming Kafka Database-centric 90

Confluent

FEBRUARY 27, 2019

By persisting the streams in Kafka we then have a record of all system activity (a source of truth), and also a mechanism to drive reactions. You can read more about CloudEvents in part 1 of this blog series. Can I use it to enrich user information from external sources or filter against a particular set of users?

Kafka 109

Kafka AWS Architecture Cloud 109

Rockset

JANUARY 5, 2022

So I don’t fault you for resisting my message, which is that the SQL database that came of age in the 80s still has a critical role to play today in moving data-driven companies from batch to real-time analytics. But nothing could be further from the truth. This may come as a surprise. Let’s tackle these myths one by one.

Database 52

Database SQL NoSQL Raw Data 52

Confluent

MAY 9, 2019

It offers time travel, a source of truth, scaling, consistency and many elements that we can rely on. Some banks run up to 30 processing stages, which stretches well beyond the realms of a single, atomic transaction, and pushes the complexity of XA transactions —which don’t exist in the event-driven world. “We

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93

Zalando Engineering

FEBRUARY 6, 2019

Therefore, in Personalized Marketing , our mission is to reach customers with a personalized message and suggest products tailored to their needs or wants. While each of them would deserve a dedicated blog post, this article aims to simply outline their purposes and main challenges.

Scala 40

Scala AWS Data Lake Software Engineer 40

Zalando Engineering

MAY 7, 2018

Real-time joins in event-driven microservices As discussed in my previous blog post , Kafka is one of the key components of our event-driven microservice architecture in Zalando’s Smart Product Platform. Products can have multiple Attributes assigned to them by ID, and single Attributes may be shared by many Products.

Kafka 40

Kafka Scala Java Media 40

Confluent

OCTOBER 10, 2019

Kafka-native options to note for MQTT integration beyond Kafka client APIs like Java, Python,NET, and C/C++ are: Kafka Connect source and sink connectors , which integrate with MQTT brokers in both directions. Agile development and loose coupling: different sources and sinks should be their own decoupled domains.

Kafka 20

Kafka Google Cloud Architecture Machine Learning 20

Confluent

AUGUST 1, 2019

At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system. Prior to introducing Kafka Streams, we relied in many cases on one single central database (plus a service API) for state management.

Kafka 20

Kafka Systems Building Metadata 20

Confluent

OCTOBER 24, 2019

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. Either way, both are accomplished with event sourcing.

Kafka 18

Kafka Java Banking Bytes 18

Netflix Tech

JANUARY 11, 2022

A Type-M error occurs when, given that we observe a statistically-significant result, the size of the estimated metric movement is magnified (or exaggerated) relative to the truth. Messaging At Netflix, we are always looking for ways to help our members choose content that’s great for them. What’s new or coming soon on Netflix?

Data Science 97

Data Science Data Algorithm Engineering 97

Scott Logic

NOVEMBER 14, 2023

Introduction In any organisation there is a need to distribute data from a source system to other systems. It’s generally accepted that in such cases we don’t want the source system directly doing HTTP requests to all interested parties, we prefer a low level of coupling between systems.

Technology 52

Technology Kafka AWS Data 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. We didn’t have any monitoring, information about what’s going on in customer success, and found out we didn’t have connections to a lot of our marketing sources,” said Daniel. “In

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. We didn’t have any monitoring, information about what’s going on in customer success, and found out we didn’t have connections to a lot of our marketing sources,” said Daniel. “In

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52